Lotus — AI Citation Intelligence

app.clicon由 clicon.app 發布官方發布者v1.27.0更新於 Nov 2, 2026

Measure how AI assistants cite your brand. Returns measured data and ready-to-apply fixes.

已驗證Streamable HTTP可網頁執行資料與分析商業與電商AI 與機器學習

概覽

AI 產生的概覽

Lotus 衡量 AI 助理是否引用你的品牌,並提供附可安裝程式碼的優先修正項目,再於你的線上網站驗證。

可以做什麼
  • 對任意網域執行 GEO 診斷,取得能見度分數與預估營收風險
  • 列出待處理的快速修正項目,並依 hash 取得可直接安裝的程式碼
  • 檢視競爭對手動向、產生的產出物、AI 爬蟲活動與預估業務損失
  • 查看引用分數與逐筆查詢的測量資料,並核驗產出物是否已在線上生效
  • 線上驗證通過後將修正項目標記為已套用,建立分享連結並重新產生產出物
適用情境
適合想了解大型語言模型回答中是否引用自家品牌而非競爭對手,並希望編碼助理直接套用 JSON-LD 或 llms.txt 修正、再到正式環境確認的情境。
執行需求
託管遠端端點,使用 streamable-http,無需安裝。需要於 clicon.app 註冊流程取得的 Lotus API 金鑰,透過 X-API-Key 標頭傳送。僅 analyze_geo 預覽不需金鑰。
安裝前請注意
API 金鑰屬於憑證,只能放在 X-API-Key 標頭,不要放進工具參數或網址。寫入類工具會改變帳戶狀態:mark_applied、generate_share_link 與 regenerate_artifacts,後者有頻率限制且僅限付費方案。伺服器會抓取你的線上網站進行驗證,但不會寫入你的網站或程式碼儲存庫。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Lotus — AI Citation Intelligence,將其新增到工作區。
  2. 連接 X-API-Key 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/app.clicon%2Flotus/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "lotus-ai-citation-intelligence": {
      "type": "http",
      "url": "https://lotus.clicon.app/mcp/",
      "headers": {
        "X-API-Key": "<YOUR_API_KEY>"
      }
    }
  }
}

README

Lotus — AI Citation Intelligence (MCP Server)

Lotus is a Generative Engine Optimization (GEO) platform. It measures whether your brand is actually cited as a source inside LLM-generated answers, and hands your coding agent the exact code to fix what is missing.

This repository documents the hosted Lotus MCP server. The server is a managed remote endpoint — there is nothing to install or self-host.

  • Endpoint: https://lotus.clicon.app/mcp/ (trailing slash required)
  • Transport: streamable-http, stateless
  • Registry: app.clicon/lotus
  • Website: https://clicon.app

What it does

Search engines told you when you ranked badly. Generative engines do not. If an assistant hallucinates your product, ignores you, or cites a competitor instead, you lose the business with no signal that it happened.

Lotus closes that loop in three steps:

  1. Measure — real citation measurements across LLM answers for your domain, plus crawler activity and Search Console signals.
  2. Fix — prioritized "quick wins" with ready-to-install code (JSON-LD structured data, llms.txt).
  3. Verify — Lotus fetches your live site and confirms the fix is really there. A fix is not "applied" because an agent said so; it is applied because it was found in production.

Tools

analyze_geo works without credentials, so any agent can evaluate a domain before signing up. Every other tool requires an API key. Tools that take no domain argument resolve the domain from the key itself.

Preview

ToolDescription
analyze_geoGEO diagnosis for any domain: visibility score and estimated revenue at risk

Read (API key)

ToolDescription
get_quick_winsPending fixes, each with title, category, priority, estimated impact and a hash
get_quick_win_codeFull, install-ready code for one quick win, by hash
get_competitor_actionsCompetitor moves classified by AI-discoverability layer
get_artifactRetrieve a generated artifact (json_ld, llms_txt)
get_bot_activityAI crawler activity on your site over the last N days
get_bleed_modelEstimated business lost through the generative channel, with its provenance
verify_installationCheck whether your artifacts are live on your site right now
get_citation_verdictLatest citation score plus the per-query measurements behind it

Write (API key)

ToolDescription
mark_appliedMarks a quick win as applied — after verifying it against your live site
generate_share_linkCreate a shareable report link
regenerate_artifactsRegenerate your artifacts. Rate-limited; paid tiers only

Configuration

Add the server to any MCP-compatible client (Claude Code, Claude Desktop, Cursor, VS Code, or your own agent):

json
{  "mcpServers": {    "lotus": {      "url": "https://lotus.clicon.app/mcp/",      "headers": {        "X-API-Key": "YOUR_LOTUS_API_KEY"      }    }  }}

The API key is sent as the X-API-Key header — never as a tool argument or a query parameter. Keys are issued during onboarding at clicon.app. Without a key the server still responds to analyze_geo.

Exact config syntax varies slightly per client; the shape above is what most of them expect.

Usage

Talk to your agent in plain language — it picks the tools:

"Run the Lotus GEO analysis on my domain."

"Show me the pending Lotus quick wins."

"Get me the code for the highest-priority one and apply it to this repo."

"I deployed. Mark it as applied in Lotus."

On that last step Lotus fetches your live site and looks for the schema. If it is there, the fix turns green with a verification date. If it is not — because the deploy has not landed, or the snippet went in wrong — Lotus refuses to mark it. No false positives.

Lotus generates and verifies. You deploy. The server never writes to your site or your repository.

Support

Questions or access: https://clicon.app

來源:README.md,提交 e573bd3

工具

0
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版本歷史

1
  1. v1.27.0最新Sep 16, 2026

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